AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for C-X-C chemokine receptor type 4

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved activity, selectivity, and safety.

We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate Reaxense.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

Our high-tech, dedicated method is applied to construct targeted libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost activity and selectivity.

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

P61073

UPID:

CXCR4_HUMAN

Alternative names:

FB22; Fusin; HM89; LCR1; Leukocyte-derived seven transmembrane domain receptor; Lipopolysaccharide-associated protein 3; NPYRL; Stromal cell-derived factor 1 receptor

Alternative UPACC:

P61073; B2R5N0; O60835; P30991; P56438; Q53S69; Q9BXA0; Q9UKN2

Background:

C-X-C chemokine receptor type 4 (CXCR4), also known by alternative names such as Fusin and Stromal cell-derived factor 1 receptor, plays a pivotal role in various physiological processes. It functions as a receptor for the chemokine CXCL12/SDF-1, facilitating signal transduction that enhances intracellular calcium levels and MAPK activation. CXCR4 is involved in cell migration, hematopoiesis, cardiac development, and CNS functions, including hippocampal neuron survival. It also acts as a coreceptor for HIV-1 and HIV-2, mediating virus fusion and infection.

Therapeutic significance:

The involvement of CXCR4 in WHIM syndrome 1, characterized by neutropenia and hypogammaglobulinemia, underscores its therapeutic significance. Targeting CXCR4 could offer novel treatment avenues for managing WHIM syndrome and potentially other conditions linked to CXCR4 dysfunction. Understanding the role of CXCR4 could open doors to potential therapeutic strategies.

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